Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/102622
DC FieldValueLanguage
dc.contributor.authorCruz, Luis Alberto da Silva-
dc.contributor.authorAgostini, Luciano Volcan-
dc.contributor.authorSilva, Thaísa Leal da-
dc.date.accessioned2022-10-04T11:29:48Z-
dc.date.available2022-10-04T11:29:48Z-
dc.date.issued2014-
dc.identifier.issn2048-7703-
dc.identifier.issn2048-7703-
dc.identifier.urihttps://hdl.handle.net/10316/102622-
dc.description.abstractThe new High Efficiency Video Coding (HEVC) standard achieves higher encoding efficiency when compared to its predecessors such as H.264/AVC. One of the factors responsible for this improvement is the new intra prediction method, which introduces a larger number of prediction directions resulting in an enhanced rate-distortion (RD) performance obtained at the cost of higher computational complexity. This paper proposes an algorithm to accelerate the intra mode decision, reducing the complexity of intra coding. The acceleration procedure takes into account the texture local directionality information and explores the correlation of intra modes across levels of the hierarchical tree structure used in HEVC. Experimental results show that the proposed algorithm provides a decrease of 39.22 and 43.88 in the HEVC intra prediction processing time on average, for allintra high efficiency (AI-HE) and low complexity (AI-LC) configurations, respectively, with a small degradation in encoding efficiency (BD-PSNR loss of 0.1 dB for AI-HE and 0.8 dB for AI-LC on average).pt
dc.language.isoengpt
dc.relationCAPES Brazilian agency, the Portuguese Instituto de Telecomunicações (IT, Portugal) and the Portuguese Govt. program Pest- OE/EEI/LA0008/2013pt
dc.relationFCT/1909/27/2/2014/Spt
dc.rightsopenAccesspt
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt
dc.subjectIntra predictionpt
dc.subjectHEVCpt
dc.subjectComputational complexitypt
dc.subjectEdge orientationpt
dc.subjectInter-levels correlationpt
dc.titleHEVC intra prediction acceleration based on texture direction and prediction unit modes reusept
dc.typearticlept
degois.publication.firstPagee13pt
degois.publication.issue1pt
degois.publication.titleAPSIPA Transactions on Signal and Information Processingpt
dc.peerreviewedyespt
dc.identifier.doi10.1017/ATSIP.2014.14-
degois.publication.volume3pt
dc.date.embargo2014-01-01*
uc.date.periodoEmbargo0pt
item.openairetypearticle-
item.fulltextCom Texto completo-
item.languageiso639-1en-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.researchunitIT - Institute of Telecommunications-
crisitem.author.orcid0000-0003-1141-4404-
crisitem.author.orcid0000-0002-5356-3398-
Appears in Collections:I&D IT - Artigos em Revistas Internacionais
FCTUC Eng.Electrotécnica - Artigos em Revistas Internacionais
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